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MCP Paradex Server

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paradex_filters_model

Read-only

Retrieve exact filter schema for any tool to construct precise JMESPath queries. Avoid trial and error by knowing available fields, data types, and formats.

Instructions

Get detailed schema information to build precise data filters.

Use this tool when you need to:
- Understand exactly what fields are available for filtering
- Learn the data types and formats for specific fields
- Build complex JMESPath queries with correct syntax
- Create sophisticated filtering and sorting expressions

Knowing the exact schema helps you construct precise filters that
return exactly the data you need, avoiding trial and error.

Example use cases:
- Learning what fields exist in market data responses
- Finding the correct property names for filtering
- Understanding data types for numerical comparisons
- Building complex multi-criteria filters for large datasets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_nameYesThe name of the tool to get the filters for.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, so the description's behavioral addition is limited to stating it returns schema information. No contradictions noted, but the description does not add significant behavioral context beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loads the primary purpose, and uses bullet points for clarity. Every sentence serves a purpose without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the tool's purpose and use cases well. It lacks explicit detail about the output format (no output schema provided), but given the tool's meta-nature, the gap is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage for its single parameter (tool_name). The description does not add extra meaning beyond the schema, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides detailed schema information for building precise data filters. It lists specific use cases and distinguishes itself from sibling data retrieval tools like paradex_bbo and paradex_klines, which are operational rather than meta-tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly lists when to use the tool (e.g., understanding fields, data types, building JMESPath queries). However, it does not mention when not to use it or provide direct alternatives, though the sibling context implies alternatives for data retrieval.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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